Agents & OrchestrationSûr100100/100
Parallel Execution Optimizer
Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.
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Installer dans ton projet
$ npx arboris-cli@latest install parallel-execution-optimizeraffaan-m
affaan-m/ECC
Contenu à copier
--- name: parallel-execution-optimizer description: Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness. metadata: origin: ECC tools: Read, Write, Edit, Bash, Grep, Glob --- # Parallel Execution Optimizer Use this skill when speed comes from doing independent work at the same time: repo inspection, file reads, API checks, browser checks, build/test lanes, deploy readbacks, or multi-worktree implementation passes. ## Core Pattern Turn urgency into a dependency graph before acting. 1. Define the objective and done signal. 2. Split work into lanes. 3. Mark each lane as parallel, sequential, or gated. 4. Run independent reads/checks together. 5. Keep writes isolated by file, worktree, branch, service, or dataset. 6. Merge only after evidence shows the lanes are compatible. 7. End with a verification table, not a vague speed claim. ## Lane Matrix Before a large push, write a compact matrix: ```text Lane | Can run in parallel? | Write surface | Risk | Verification Repo scan | yes | none | low | rg/git status outputs Backend patch | maybe | src/api | medium | unit tests Frontend patch | maybe | app/components | medium | browser screenshot Deploy readback | after build | remote service | high | live URL + logs ``` Only run lanes in parallel when their write surfaces do not collide. ## Execution Rules - Batch file reads, searches, status checks, and metadata queries. - Use isolated worktrees for large unrelated implementation lanes. - Start long-running tests, builds, backfills, and deploys in separate sessions, then poll them deliberately. - If a lane discovers a blocker that changes the plan, pause dependent lanes and update the matrix. - Never let a background process outlive the turn unless the user explicitly asked for a continuing service. - Do not parallelize destructive commands, migrations, writes to the same table, or live customer-impacting deploys without an explicit gate. ## Output Shape Use this when reporting: ```text Parallel execution result: - Lanes run: 5 - Lanes completed: 4 - Blocked lane: deploy readback, waiting on DNS propagation - Fast path found: batched repo scan + focused tests - Verification: lint pass, unit pass, live smoke pass ``` ## Failure Modes - More concurrency that creates conflicting edits. - Benchmarking the tool instead of the task. - Treating "fast" as done before correctness is proven. - Forgetting to poll running sessions. - Hiding skipped checks behind a success summary.
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Ce que fait Parallel Execution Optimizer
Batch file reads, searches, status checks, and metadata queries.
Use isolated worktrees for large unrelated implementation lanes.
Start long-running tests, builds, backfills, and deploys in separate sessions,
If a lane discovers a blocker that changes the plan, pause dependent lanes
Comment utiliser Parallel Execution Optimizer
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Parallel Execution Optimizer
Dis simplement à ton agent quelque chose comme :
Applique le skill parallel-execution-optimizer à cette tâche
Utilise parallel-execution-optimizer pour améliorer cette implémentation
Passe en revue ce sujet avec parallel-execution-optimizer
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